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Semantic Segmentation

Papers

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Showing 5551–5600 of 14763 papers

TitleStatusHype
Scale-Equivariant UNet for Histopathology Image Segmentation—0
Self-training with dual uncertainty for semi-supervised medical image segmentation—0
Are Visual Recognition Models Robust to Image Compression?—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line DetectionCode1
Exploring Effective Factors for Improving Visual In-Context LearningCode1
Can SAM Segment Anything? When SAM Meets Camouflaged Object DetectionCode1
CherryPicker: Semantic Skeletonization and Topological Reconstruction of Cherry TreesCode2
Instance Neural Radiance FieldCode1
Federated Incremental Semantic SegmentationCode1
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationCode1
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
ADS_UNet: A Nested UNet for Histopathology Image Segmentation—0
ForamViT-GAN: Exploring New Paradigms in Deep Learning for Micropaleontological Image Analysis—0
CLVOS23: A Long Video Object Segmentation Dataset for Continual LearningCode0
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos—0
Transformer Utilization in Medical Image Segmentation Networks—0
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging—0
On the dice loss gradient and the ways to mimic it—0
Marginal Thresholding in Noisy Image Segmentation—0
Polygonizer: An auto-regressive building delineator—0
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation—0
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Co-attention Propagation Network for Zero-Shot Video Object SegmentationCode0
Microstructural segmentation using a union of attention guided U-Net models with different color transformed imagesCode0
Pallet Detection from Synthetic Data Using Game Engines—0
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation LearnerCode1
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational modelCode0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation—0
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic ExpertsCode1
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation—0
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
InterFormer: Real-time Interactive Image SegmentationCode1
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic GraspingCode1
SegGPT: Segmenting Everything In ContextCode4
PointCAT: Cross-Attention Transformer for point cloudCode1
SALUDA: Surface-based Automotive Lidar Unsupervised Domain AdaptationCode1
Patch-aware Batch Normalization for Improving Cross-domain Robustness—0
RFAConv: Innovating Spatial Attention and Standard Convolutional OperationCode1
Semantic Validation in Structure from MotionCode0
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks—0
Segment AnythingCode5
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging SegmentationCode0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic SegmentationCode1
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsCode0
DPPD: Deformable Polar Polygon Object Detection—0
Few-shot Semantic Image Synthesis with Class Affinity Transfer—0
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified